A Novel Prescribed-Time Convergence Acceleration Algorithm with Time Rescaling

In machine learning, the processing of datasets is an unavoidable topic. One important approach to solving this problem is to design some corresponding algorithms so that they can eventually converge to the optimal solution of the optimization problem. Most existing acceleration algorithms exhibit a...

Full description

Saved in:
Bibliographic Details
Main Authors: Xuehui Mei, Pengrui Zhang, Haijun Jiang, Zhiyong Yu
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/13/2/251
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832588059664711680
author Xuehui Mei
Pengrui Zhang
Haijun Jiang
Zhiyong Yu
author_facet Xuehui Mei
Pengrui Zhang
Haijun Jiang
Zhiyong Yu
author_sort Xuehui Mei
collection DOAJ
description In machine learning, the processing of datasets is an unavoidable topic. One important approach to solving this problem is to design some corresponding algorithms so that they can eventually converge to the optimal solution of the optimization problem. Most existing acceleration algorithms exhibit asymptotic convergence. In order to ensure that the optimization problem converges to the optimal solution within the prescribed time, a novel prescribed-time convergence acceleration algorithm with time rescaling is presented in this paper. Two prescribed-time acceleration algorithms are constructed by introducing time rescaling, and the acceleration algorithms are used to solve unconstrained optimization problems and optimization problems containing equation constraints. Some important theorems are given, and the convergence of the acceleration algorithms is proven using the Lyapunov function method. Finally, we provide numerical simulations to verify the effectiveness and rationality of our theoretical results.
format Article
id doaj-art-5e6ca8395b184221b0ebbbb5b0de1bdd
institution Kabale University
issn 2227-7390
language English
publishDate 2025-01-01
publisher MDPI AG
record_format Article
series Mathematics
spelling doaj-art-5e6ca8395b184221b0ebbbb5b0de1bdd2025-01-24T13:39:53ZengMDPI AGMathematics2227-73902025-01-0113225110.3390/math13020251A Novel Prescribed-Time Convergence Acceleration Algorithm with Time RescalingXuehui Mei0Pengrui Zhang1Haijun Jiang2Zhiyong Yu3College of Mathematics and System Science, Xinjiang University, Urumqi 830047, ChinaCollege of Mathematics and System Science, Xinjiang University, Urumqi 830047, ChinaSchool of Mathematics and Statistics, YiLi Normal University, Yining 835000, ChinaCollege of Mathematics and System Science, Xinjiang University, Urumqi 830047, ChinaIn machine learning, the processing of datasets is an unavoidable topic. One important approach to solving this problem is to design some corresponding algorithms so that they can eventually converge to the optimal solution of the optimization problem. Most existing acceleration algorithms exhibit asymptotic convergence. In order to ensure that the optimization problem converges to the optimal solution within the prescribed time, a novel prescribed-time convergence acceleration algorithm with time rescaling is presented in this paper. Two prescribed-time acceleration algorithms are constructed by introducing time rescaling, and the acceleration algorithms are used to solve unconstrained optimization problems and optimization problems containing equation constraints. Some important theorems are given, and the convergence of the acceleration algorithms is proven using the Lyapunov function method. Finally, we provide numerical simulations to verify the effectiveness and rationality of our theoretical results.https://www.mdpi.com/2227-7390/13/2/251exponential prescribed-time convergenceacceleration algorithmtime rescalingoptimization problemLyapunov function
spellingShingle Xuehui Mei
Pengrui Zhang
Haijun Jiang
Zhiyong Yu
A Novel Prescribed-Time Convergence Acceleration Algorithm with Time Rescaling
Mathematics
exponential prescribed-time convergence
acceleration algorithm
time rescaling
optimization problem
Lyapunov function
title A Novel Prescribed-Time Convergence Acceleration Algorithm with Time Rescaling
title_full A Novel Prescribed-Time Convergence Acceleration Algorithm with Time Rescaling
title_fullStr A Novel Prescribed-Time Convergence Acceleration Algorithm with Time Rescaling
title_full_unstemmed A Novel Prescribed-Time Convergence Acceleration Algorithm with Time Rescaling
title_short A Novel Prescribed-Time Convergence Acceleration Algorithm with Time Rescaling
title_sort novel prescribed time convergence acceleration algorithm with time rescaling
topic exponential prescribed-time convergence
acceleration algorithm
time rescaling
optimization problem
Lyapunov function
url https://www.mdpi.com/2227-7390/13/2/251
work_keys_str_mv AT xuehuimei anovelprescribedtimeconvergenceaccelerationalgorithmwithtimerescaling
AT pengruizhang anovelprescribedtimeconvergenceaccelerationalgorithmwithtimerescaling
AT haijunjiang anovelprescribedtimeconvergenceaccelerationalgorithmwithtimerescaling
AT zhiyongyu anovelprescribedtimeconvergenceaccelerationalgorithmwithtimerescaling
AT xuehuimei novelprescribedtimeconvergenceaccelerationalgorithmwithtimerescaling
AT pengruizhang novelprescribedtimeconvergenceaccelerationalgorithmwithtimerescaling
AT haijunjiang novelprescribedtimeconvergenceaccelerationalgorithmwithtimerescaling
AT zhiyongyu novelprescribedtimeconvergenceaccelerationalgorithmwithtimerescaling